Stefan Windmann

Orcid: 0000-0002-4030-0839

According to our database1, Stefan Windmann authored at least 29 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Fault detection in automated production systems based on a long short-term memory autoencoder.
Autom., January, 2024

Quantum computer-aided job scheduling for storage and retrieval systems.
Autom., January, 2024

2023
Optimization of a High Storage System with two Cranes per Aisle.
Proceedings of the 21st IEEE International Conference on Industrial Informatics, 2023

2022
Data-Driven Fault Detection in Industrial Batch Processes Based on a Stochastic Hybrid Process Model.
IEEE Trans Autom. Sci. Eng., 2022

Learning Petri net models from sensor data of conveying systems based on the merging of prefix and postfix trees.
Autom., 2022

2021
An Ensemble of Benchmarks for the Evaluation of AI Methods for Fault Handling in CPPS.
Proceedings of the 19th IEEE International Conference on Industrial Informatics, 2021

2019
Model-based routing in flexible manufacturing systems.
Autom., 2019

Scalable Analytics Platform for Machine Learning in Smart Production Systems.
Proceedings of the 24th IEEE International Conference on Emerging Technologies and Factory Automation, 2019

2018
Computation of energy efficient driving speeds in conveying systems.
Autom., 2018

Information Retrieval in Industrial Production Environments.
Proceedings of the 23rd IEEE International Conference on Emerging Technologies and Factory Automation, 2018

2017
A self-configurable fault detection system for Industrial Ethernet networks.
Autom., 2017

A novel self-configuration method for RFID systems in industrial production environments.
Proceedings of the 22nd IEEE International Conference on Emerging Technologies and Factory Automation, 2017

Learning parallel automata of PLCs.
Proceedings of the 22nd IEEE International Conference on Emerging Technologies and Factory Automation, 2017

2016
A GPU-based method for robust and efficient fault detection in industrial automation processes.
Proceedings of the 14th IEEE International Conference on Industrial Informatics, 2016

2015
Evaluation of Model-Based Condition Monitoring Systems in Industrial Application Cases.
Proceedings of the Machine Learning for Cyber Physical Systems, 2015

Efficient fault detection for industrial automation processes with observable process variables.
Proceedings of the 13th IEEE International Conference on Industrial Informatics, 2015

Energy efficiency optimization by automatic coordination of motor speeds in conveying systems.
Proceedings of the IEEE International Conference on Industrial Technology, 2015

Automatic model separation and application for diagnosis in industrial automation systems.
Proceedings of the IEEE International Conference on Industrial Technology, 2015

MapReduce algorithms for efficient generation of CPS models from large historical data sets.
Proceedings of the 20th IEEE Conference on Emerging Technologies & Factory Automation, 2015

A HMM-based fault detection method for piecewise stationary industrial processes.
Proceedings of the 20th IEEE Conference on Emerging Technologies & Factory Automation, 2015

An FPGA based FIFO with efficient memory management.
Proceedings of the 20th IEEE Conference on Emerging Technologies & Factory Automation, 2015

2013
A stochastic method for the detection of anomalous energy consumption in hybrid industrial systems.
Proceedings of the 11th IEEE International Conference on Industrial Informatics, 2013

The importance of model-learning for the analysis of the energy consumption of production plants.
Proceedings of 2013 IEEE 18th Conference on Emerging Technologies & Factory Automation, 2013

2009
Parameter Estimation of a State-Space Model of Noise for Robust Speech Recognition.
IEEE Trans. Speech Audio Process., 2009

Approaches to Iterative Speech Feature Enhancement and Recognition.
IEEE Trans. Speech Audio Process., 2009

2008
Ausnutzung zeitlicher Redundanzen der cepstralen Sprachmerkmale für die automatische Spracherkennung.
PhD thesis, 2008

Modeling the dynamics of speech and noise for speech feature enhancement in ASR.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
An approach to iterative speech feature enhancement and recognition.
Proceedings of the INTERSPEECH 2007, 2007

2006
Iterative Speech Enhancement using a Non-Linear Dynamic State Model of Speech and its Parameters.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006


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